Attenuated cardiac baroreflex in men with presyncope evoked by lower body negative pressure
Bibliographic record
Abstract
Mechanisms responsible for presyncope during lower body negative pressure (LBNP) in otherwise healthy subjects are poorly understood. Muscle sympathetic nerve activity (MSNA), blood pressure, heart rate (HR), HR power spectra, central venous pressure (CVP) and stroke volume were determined in 14 healthy men subjected to incremental LBNP. Of these, seven experienced presyncope at LBNP >-15 mmHg. Subjects who tolerated LBNP >-15 mmHg had significantly lower CVP (2.6+/-1.0 versus 7.2+/-1.2 mmHg; means+/-S.E.M., P<0.02), HR (59+/-2 versus 66+/-3 beats/min, P<0.05) and MSNA burst frequency (29.0+/-2.4 versus 39.0+/-3.5 bursts/min, P<0.05) during supine rest. LBNP at -15 mmHg had no effect on blood pressure, but caused similar and significant reductions in stroke volume and cardiac output in both groups. Subjects who tolerated LBNP had significant reflex increases in HR, MSNA burst frequency and burst amplitude with LBNP of -15 mmHg. These responses were absent in those who experienced presyncope. The gain of the cardiac baroreflex regulation of MSNA was markedly attenuated in pre-syncopal subjects (1.2+/-0.6 versus 8.8+/-1.4 bursts/100 heart beats per mmHg; P<0.001). Healthy subjects who experience presyncope in response to LBNP appear more dependent, when supine, upon MSNA to maintain preload, and less able to increase sympathetic vasoconstrictor discharge to skeletal muscle reflexively in response to orthostatic stimuli.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".